AI/ML Solutions Architect (Agentic Systems)
Location: Bengaluru (Hybrid)
Experience: 12+ Years
About Neuron7.ai :
At Neuron7.ai, we're redefining how global enterprises leverage AI to solve complex service and operational challenges. As an AI-first SaaS company, we are building the next generation of Agentic AI platforms that combine Large Language Models (LLMs), Multi-Agent Systems, enterprise knowledge, and intelligent workflow automation.
If you're excited about moving beyond AI prototypes and deploying autonomous AI systems that create measurable business impact, this is the opportunity for you.
Neuron7.ai is a rapidly growing AI-first SaaS company building category-defining Service Intelligence solutions for global enterprises. Our platform combines Agentic AI, Large Language Models (LLMs), enterprise knowledge, and workflow automation to help organizations solve complex service and operational challenges faster and more accurately.
As enterprises transition from traditional software to AI-powered autonomous systems, Neuron7.ai is leading the next wave of innovation through Multi-Agent architectures, intelligent orchestration, and enterprise-scale AI deployments.
About the Role
- Partner with enterprise customers to understand business challenges and identify AI transformation opportunities.
- Design end-to-end Agentic AI solutions using modern multi-agent architectures.
- Lead solution discovery workshops and define enterprise AI roadmaps.
- Architect scalable AI workflows that integrate with enterprise systems, APIs, and business processes.
- Deploy production-ready AI applications while ensuring security, governance, scalability, and reliability.
- Guide customers through implementation, adoption, and long-term success.
- Collaborate closely with Product, Engineering, and Customer Success teams to influence product evolution.
- Serve as a trusted advisor on enterprise AI strategy and best practices.
Essential Qualifications
- 12+ years of overall experience in Solution Architecture, Enterprise Architecture, Platform Engineering, or Technology Consulting.
- Proven experience delivering 0-to-1 products, platforms, or AI-powered solutions in enterprise environments.
- 5+ years of hands-on experience implementing AI/ML, Generative AI, or Agentic AI solutions in production.
- Experience designing and deploying Multi-Agent Systems, AI workflows, and enterprise AI applications.
- Strong background in enterprise integrations, APIs, data architecture, and workflow orchestration.
- Experience working directly with customers, leading discovery workshops, solution design, implementation, and adoption initiatives.
- Exposure to frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, Agentforce, OpenAI Agents SDK, or similar platforms.
- Understanding of MCP, A2A protocols, AI governance, guardrails, and responsible AI practices.
- Preferred experience with Salesforce, Agentforce, ServiceNow, CRM, Field Service, or Customer Support platforms
Technical Expertise
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- Salesforce Agentforce
- Other enterprise Agentic AI frameworks
Knowledge of:
- MCP (Model Context Protocol)
- A2A (Agent-to-Agent) communication
- AI governance and guardrails
- Responsible AI practices
- LLM orchestration and evaluation
- Retrieval-Augmented Generation (RAG)
Nice to Have
Experience with enterprise platforms such as:
- Salesforce
- Agentforce
- ServiceNow
- CRM platforms
- Customer Support platforms
- Field Service Management solutions
Company Perks & Benefits
- Competitive salary, equity, and performance bonuses
- Paid time off
- Comprehensive health insurance
- Paid parental leave
- Hybrid work environment in Bengaluru
Our Commitment to Diversity & Inclusion
Neuron7.ai is committed to fostering an inclusive workplace and providing equal opportunities regardless of race, religion, gender, disability, age, sexual orientation, or any legally protected characteristic.
If you're passionate about architecting AI-powered enterprise transformation and solving complex customer challenges at scale, we'd love to hear from you.
